When working with AI agents during development, granting them full access to our local machine can introduce security risks. A safer approach is to run the agent inside a Dev Container. This way, we grant the required access only within an isolated container environment instead of the host system. By using a Dev Container, the…
Category: docker
Developing Inside a Container – (Notes)
With the Visual Studio Code Dev Containers extension, a container becomes our entire development environment. Our workspace files and extensions run inside the container, giving us direct access to the required tools and system dependencies. This makes it easy to move between projects or environments by simply changing the container we connect to. devcontainer.json file…

